Archive verified checkpoint FiveC/ViTay-Sentence-Concatenation

checkpoints/ViTay-Sentence-Concatenation/.gitattributes

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checkpoints/ViTay-Sentence-Concatenation/README.md

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+---
+library_name: transformers
+license: mit
+base_model: FiveC/BartTay
+tags:
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: ViTay-Sentence-Concatenation
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ViTay-Sentence-Concatenation
+
+This model is a fine-tuned version of [FiveC/BartTay](https://huggingface.co/FiveC/BartTay) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1610
+- Sacrebleu: 15.9294
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 0.346         | 1.0   | 1285 | 0.1878          | 11.6144   |
+| 0.2845        | 2.0   | 2570 | 0.1639          | 15.1517   |
+| 0.2543        | 3.0   | 3855 | 0.1610          | 15.9294   |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

checkpoints/ViTay-Sentence-Concatenation/added_tokens.json

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+}

checkpoints/ViTay-Sentence-Concatenation/config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "max_position_embeddings": 1024,
+  "model_type": "mbart",
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "tokenizer_class": "BartphoTokenizer",
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 40031
+}

checkpoints/ViTay-Sentence-Concatenation/generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.57.3"
+}

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checkpoints/ViTay-Sentence-Concatenation/special_tokens_map.json

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checkpoints/ViTay-Sentence-Concatenation/tokenizer_config.json

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